The Experts below are selected from a list of 321 Experts worldwide ranked by ideXlab platform

T.h. Park - One of the best experts on this subject based on the ideXlab platform.

  • An approach to robot motion analysis and planning for conveyor tracking
    IEEE Transactions on Systems Man and Cybernetics, 1992
    Co-Authors: T.h. Park
    Abstract:

    The robot motion is analyzed and planned for conveyor tracking considering the speed of the conveyor belt and the location of the part and the robot. The joint torque limit, together with the joint velocity, acceleration, and jerk limits of the robot, is also taken into account in the motion analysis and planning. To include the robot arm dynamics, the problem is formulated as second-order state equations using a Parametric Function. The conveyor tracking problem is then converted to an optimal tracking problem. The solution that minimizes the specified performance index is obtained using the dynamic programming approach. Numerical examples are finally presented to demonstrate the significance of the proposed method for conveyor tracking of the robot in a workcell.

  • An approach to robot motion analysis and planning for conveyor tracking
    Proceedings. 1991 IEEE International Conference on Robotics and Automation, 1991
    Co-Authors: T.h. Park
    Abstract:

    Robot motion is analyzed and planned for conveyor tracking considering the speed of the conveyor belt and the locations of the part and the robot. The joint torque limit, joint velocity, acceleration, and jerk limits of the robot are taken into account in the motion analysis and planning. To include the robot arm dynamics, the problem is formulated as second order state equations using a Parametric Function. The conveyor tracking problem is then converted to an optimal tracking problem. The solution that minimizes the specified performance index is obtained using the dynamic programming approach. Numerical examples are presented to demonstrate the significance of the proposed method for conveyor tracking of the robot in a workcell.

Jeffrey D Hart - One of the best experts on this subject based on the ideXlab platform.

  • testing the fit of a Parametric Function
    Journal of the American Statistical Association, 1999
    Co-Authors: Marc Aerts, Gerda Claeskens, Jeffrey D Hart
    Abstract:

    Abstract General methods for testing the fit of a Parametric Function are proposed. The idea underlying each method is to “accept” the prescribed Parametric model if and only if it is chosen by a model selection criterion. Several different selection criteria are considered, including one based on a modified version of the Akaike information criterion and others based on various score statistics. The tests have a connection with nonParametric smoothing because they use orthogonal series estimators to detect departures from a Parametric model. An important aspect of the tests is that they can be applied in a wide variety of settings, including generalized linear models, spectral analysis, the goodness-of-fit problem, and longitudinal data analysis. Implementation using standard statistical software is straightforward. Asymptotic distribution theory for several test statistics is described, and the tests are shown to be consistent against essentially any alternative hypothesis. Simulations and a data exampl...

Derek G. Chetwynd - One of the best experts on this subject based on the ideXlab platform.

  • Time minimum trajectory planning of a 2-DOF translational parallel robot for pick-and-place operations
    CIRP Annals - Manufacturing Technology, 2007
    Co-Authors: Tian Huang, J.-p. Mei, X. M. Zhao, P. F. Wang, Derek G. Chetwynd
    Abstract:

    This paper deals with the time-minimum trajectory planning of a 2-DOF translational parallel robot named the Diamond for rapid pick-and-place operations. Kinematics and dynamics of the robot are formulated using a Parametric Function, allowing the representation of the input torque and velocity constraints to be converted to those in terms of the path length. A modified algorithm for achieving the minimized traversal time is proposed by taking into account the path jerk limit. Lithium-ion battery sorting using the Diamond robot is taken as an example to demonstrate the applicability of this approach.

Marc Aerts - One of the best experts on this subject based on the ideXlab platform.

  • testing the fit of a Parametric Function
    Journal of the American Statistical Association, 1999
    Co-Authors: Marc Aerts, Gerda Claeskens, Jeffrey D Hart
    Abstract:

    Abstract General methods for testing the fit of a Parametric Function are proposed. The idea underlying each method is to “accept” the prescribed Parametric model if and only if it is chosen by a model selection criterion. Several different selection criteria are considered, including one based on a modified version of the Akaike information criterion and others based on various score statistics. The tests have a connection with nonParametric smoothing because they use orthogonal series estimators to detect departures from a Parametric model. An important aspect of the tests is that they can be applied in a wide variety of settings, including generalized linear models, spectral analysis, the goodness-of-fit problem, and longitudinal data analysis. Implementation using standard statistical software is straightforward. Asymptotic distribution theory for several test statistics is described, and the tests are shown to be consistent against essentially any alternative hypothesis. Simulations and a data exampl...

Abdelhak M. Zoubir - One of the best experts on this subject based on the ideXlab platform.

  • A semi-Parametric approach for robust multiuser detection
    2008 IEEE International Conference on Acoustics Speech and Signal Processing, 2008
    Co-Authors: Ulrich Hammes, Abdelhak M. Zoubir
    Abstract:

    Robust parameter estimation in impulsive noise has risen a lot of attention in wireless communications. Previously, we proposed a non-Parametric estimator for multiuser detection based on non-Parametric density estimation. Here, we present a semi-Parametric estimator that outperforms its non-Parametric counterpart by combating multiple access interference and impulsive noise altogether. The approach is termed semi-Parametric since a nonlinear Parametric Function is used to transform the noise data while non-Parametric estimation of the score Function is performed using the transformed sample. This estimate is then used to determine the parameters of interest, i.e., the transmitted symbols. We also propose a Parametric Function and an estimator for its parameter.